Cross-domain lung opacity detection via adversarial learning and box fusion
Abstract Many conditions, such as pulmonary edema, bleeding, atelectasis or collapse, lung cancer, and shadow formation after radiotherapy or surgical changes, cause Lung Opacity. An unsupervised cross-domain Lung Opacity detection method is proposed to help surgeons quickly locate Lung Opacity with...
Saved in:
Main Authors: | Jun Yao, Zhilin Guo, Xin Zhang, Nan Yan, Qiong Wang, Wei Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-82719-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on spatial carving method of glutenite reservoir based on opacity voxel imaging
by: Hu Zhao, et al.
Published: (2024-06-01) -
Patch-based domain adversarial training for speech enhancement
by: WANG Hongtao, et al.
Published: (2024-10-01) -
Toward Enhanced Adversarial Robustness Generalization in Object Detection: Feature Disentangled Domain Adaptation for Adversarial Training
by: Yoojin Jung, et al.
Published: (2024-01-01) -
Adversarial Multitask Learning for Domain Adaptation Through Domain Adapter
by: Hidayaturrahman, et al.
Published: (2024-01-01) -
Opacity in Hedge Funds: Does it Create Value for Investors and Managers?
by: Flávia Januzzi, et al.
Published: (2020-01-01)